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Deep-Learning Continuous Gravitational Waves: Multiple detectors and realistic noise
Christoph Dreissigacker, Reinhard Prix
The sensitivity of wide-parameter-space searches for continuous gravitational waves is limited by computational cost. Recently it was shown that Deep Neural Networks (DNNs) can per…
Deep-Learning continuous gravitational waves
Christoph Dreissigacker, Rahul Sharma, Chris Messenger +2
We present a first proof-of-principle study for using deep neural networks (DNNs) as a novel search method for continuous gravitational waves (CWs) from unknown spinning neutron st…
Tests of General Relativity with GW170817
The LIGO Scientific Collaboration, the Virgo Collaboration, B. P. Abbott +1145
The recent discovery by Advanced LIGO and Advanced Virgo of a gravitational wave signal from a binary neutron star inspiral has enabled tests of general relativity (GR) with this n…
Search for gravitational waves from a long-lived remnant of the binary neutron star merger GW170817
The LIGO Scientific Collaboration, the Virgo Collaboration, B. P. Abbott +1138
One unanswered question about the binary neutron star coalescence GW170817 is the nature of its post-merger remnant. A previous search for post-merger gravitational waves targeted…
Fast and Accurate Sensitivity Estimation for Continuous-Gravitational-Wave Searches
Christoph Dreissigacker, Reinhard Prix, Karl Wette
This paper presents an efficient numerical sensitivity-estimation method and implementation for continuous-gravitational-wave searches, extending and generalizing an earlier analyt…
GW170817: Measurements of Neutron Star Radii and Equation of State
The LIGO Scientific Collaboration, the Virgo Collaboration, B. P. Abbott +1149
On 17 August 2017, the LIGO and Virgo observatories made the first direct detection of gravitational waves from the coalescence of a neutron star binary system. The detection of th…